{"id":"https://openalex.org/W3015959736","doi":"https://doi.org/10.1109/kst48564.2020.9059376","title":"A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App","display_name":"A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015959736","doi":"https://doi.org/10.1109/kst48564.2020.9059376","mag":"3015959736"},"language":"en","primary_location":{"id":"doi:10.1109/kst48564.2020.9059376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061497639","display_name":"Wisuwat Sunhem","orcid":null},"institutions":[{"id":"https://openalex.org/I86677382","display_name":"Silpakorn University","ror":"https://ror.org/02d0tyt78","country_code":"TH","type":"education","lineage":["https://openalex.org/I86677382"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Wisuwat Sunhem","raw_affiliation_strings":["Kasikorn Labs Co., Ltd., Kasikorn Business Technology Group, Nonthaburi, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kasikorn Labs Co., Ltd., Kasikorn Business Technology Group, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I86677382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066462028","display_name":"Kitsuchart Pasupa","orcid":"https://orcid.org/0000-0001-8359-9888"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kitsuchart Pasupa","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061497639"],"corresponding_institution_ids":["https://openalex.org/I86677382"],"apc_list":null,"apc_paid":null,"fwci":0.5951,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67403618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115100860595703},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6810617446899414},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5831419229507446},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5704521536827087},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5611018538475037},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.48453181982040405},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4399644732475281},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43621039390563965},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.4231588840484619},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.41478773951530457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3031288981437683},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14556685090065002},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11352545022964478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115100860595703},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6810617446899414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5831419229507446},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5704521536827087},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5611018538475037},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.48453181982040405},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4399644732475281},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43621039390563965},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.4231588840484619},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.41478773951530457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3031288981437683},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14556685090065002},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11352545022964478},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst48564.2020.9059376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1227338799","https://openalex.org/W2052293776","https://openalex.org/W2468114283","https://openalex.org/W2475692005","https://openalex.org/W2598992495","https://openalex.org/W3166270331","https://openalex.org/W6795477812"],"related_works":["https://openalex.org/W2807150090","https://openalex.org/W3048212026","https://openalex.org/W2161684601","https://openalex.org/W2893969762","https://openalex.org/W317925544","https://openalex.org/W2751424329","https://openalex.org/W3216880090","https://openalex.org/W3114627777","https://openalex.org/W145924344","https://openalex.org/W2562776005"],"abstract_inverted_index":{"Recently,":[0],"User":[1,4],"Experience":[2],"and":[3,20,47,81,142,174],"Interface":[5],"(UX-UI)":[6],"have":[7,22,73],"become":[8],"important":[9],"aspects":[10],"in":[11,139],"designing":[12],"an":[13,67,133],"effective":[14],"mobile":[15,104,125,159],"banking":[16,105,160],"application.":[17,68,106],"Traditionally,":[18],"developers":[19],"designers":[21],"relied":[23],"on":[24,124],"explicit":[25],"feedback":[26],"derived":[27],"from":[28,90],"questionnaires":[29],"to":[30,53,112,150],"gain":[31],"more":[32],"insights":[33],"into":[34],"UX-UI.":[35],"With":[36],"the":[37,48,63,75,87,101,144,151,167,185,193,204,208],"advancement":[38],"of":[39,62,77,95,103,207],"new":[40],"technology,":[41],"eye-tracking":[42,97,195],"device":[43,98],"has":[44,50],"been":[45,51],"introduced,":[46],"approach":[49],"used":[52],"provide":[54],"a":[55,91,114,164,176],"digital":[56],"footprint":[57],"indicating":[58],"exact":[59],"gazing":[60],"positions":[61],"users":[64],"when":[65,146],"using":[66],"So":[69],"far,":[70],"many":[71],"studies":[72],"acknowledged":[74],"benefits":[76],"eye":[78,116,172],"movement":[79],"tracking":[80,117],"exploited":[82],"such":[83],"implicit":[84],"feedback,":[85],"alongside":[86],"result":[88],"yielded":[89],"survey.":[92],"Successful":[93],"uses":[94],"this":[96,108,129],"would":[99,121],"further":[100],"development":[102],"In":[107],"study,":[109],"we":[110,131],"aimed":[111],"build":[113],"device-free":[115],"software":[118],"module":[119],"that":[120,183],"work":[122],"efficiently":[123],"phones.":[126],"To":[127],"achieve":[128],"goal,":[130],"employed":[132],"existing":[134],"Convolutional":[135],"Neural":[136],"Network":[137],"model":[138,145,186],"our":[140,188],"framework":[141],"evaluated":[143],"it":[147],"was":[148],"applied":[149],"specific":[152],"domain,":[153],"i.e.,":[154],"UX-UI":[155],"research":[156],"design":[157],"for":[158,171],"apps.":[161],"We":[162],"investigated":[163],"GazeCapture":[165],"dataset,":[166],"first":[168],"large-scale":[169],"dataset":[170],"tracking,":[173],"conducted":[175],"data":[177,190],"wrangling":[178],"technique.":[179],"The":[180],"results":[181],"show":[182],"fine-tuning":[184],"with":[187],"wrangled":[189],"can":[191,201],"improve":[192],"overall":[194],"performance.":[196],"Moreover,":[197],"enabling":[198],"user":[199],"calibration":[200],"clearly":[202],"enhance":[203],"predicting":[205],"performance":[206],"model.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
